Background The prevalence of mental health problems in children and adolescents is high. As these problems can impact this population’s developmental trajectories, they constitute a public health concern. This situation is accentuated by the fact that children and adolescents infrequently seek help. Digital health interventions (DHIs) offer an opportunity to bridge the treatment gap between health care needs and patient engagement in care. Additional detailed research is needed to identify how children and adolescents can be empowered to access help through DHIs. In this context, an understanding of their attitudes toward digital health appears to be a necessary first step in facilitating the effective implementation of DHIs. Objective This study aimed to establish an inventory of children’s, adolescents’, and their parents’ attitudes toward DHIs. Methods A scoping review following PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) recommendations was performed using the MEDLINE, Embase, and PsycINFO databases. This research was conducted using 3 key concepts: “child and adolescent mental health service users,” “digital health interventions,” and “attitudes.” Data extracted included the name of the publishing journal, the methodology used, the target population, the DHI studied, and the principal results. Results Of 1548 studies found, 30 (1.94%) were included in our analysis. Among these, 13 concerned satisfaction, 24 concerned preferences, 22 concerned the use of DHI, 11 concerned perception, and 10 concerned needs. Conclusions The results of this study provide a better understanding of the factors influencing children’s and adolescents’ attitudes toward digital health and DHIs. The continued growth of DHIs can help reduce barriers to mental health care. Future research on these interventions should investigate the needs of the targeted populations to increase their engagement in care.

BACKGROUND The prevalence of mental health problems in children and adolescents is high. As these problems can impact this population’s developmental trajectories, they constitute a public health concern. This situation is accentuated by the fact that children and adolescents infrequently seek help. Digital health interventions (DHI) offer an opportunity to bridge the treatment gap between healthcare needs and patient engagement in care. Additional detailed research is needed to identify how children and adolescents can be empowered to access help through DHI. In this context, an understanding of their attitudes to digital health would appear to be a necessary first step in facilitating the effective implementation of DHI. OBJECTIVE To establish an inventory of children’s, adolescents’, and their parents’ attitudes about DHI. METHODS A scoping review following PRISMA’s recommendations was performed using the MEDLINE, EMBASE and PsycINFO databases. The research was conducted using three key concepts: “child and adolescent mental health service users”, “digital health interventions” and “attitudes”. Data extracted included the name of the publishing journal, the methodology used, the target population, the DHI studied, and the principal results. RESULTS Of the 1 548 studies found, 30 (2%) were included in our analysis. Among these, 13 concerned satisfaction, 24 preferences, 22 the use of DHI, 11 perception, and 10 needs. CONCLUSIONS The results of this study provide a better understanding of the factors influencing children and adolescents’ attitudes toward digital health and DHI. The continued growth of DHI can help to reduce barriers to mental health care. Future research on these interventions should investigate the needs of the populations targeted, in order to increase their engagement in care.

Background Electroencephalography (EEG) microstates translate resting-state temporal dynamics of neuronal networks throughout the brain and could constitute possible markers of psychiatric disorders. We tested the hypothesis of an increased imbalance between a predominant self-referential mode (microstate C) and a decreased attentional mode (microstate D) in psychosis, mood, and autism spectrum disorders. Methods We retrospectively included 135 subjects from an early psychosis outpatient unit, with available eyes-closed resting-state 19 electrodes EEG. Individual-level then group-level modified K-means clustering in controls provided four microstate maps that were then backfitted to all groups. Differences between microstate parameters (occurrence, coverage, and mean duration) were computed between controls and each group, and between disease groups. Results Microstate class D parameters were systematically decreased in disease groups compared with controls, with an effect size increasing along the psychosis spectrum, but also in autism. There was no difference in class C. C/D ratios of mean duration were increased only in SCZ compared with controls. Conclusions The decrease in microstate class D may be a marker of stage of psychosis, but it is not specific to it and may rather reflect a shared dimension along the schizophrenia-autism spectrum. C/D microstate imbalance may be more specific to schizophrenia.